ArabiaWeather is MENA's largest private weather company, delivering hyper-local forecasts in Arabic and protecting people from dust storms, heat waves and flash floods. Founder Mohammed Al-Shaker, a weather enthusiast who as a child played a TV weatherman and frequented Jordan's meteorological office, single-handedly launched a one-page 'JordanWeather' with forecasts for 25 locations in 2006, developing it into ArabiaWeather in 2010–11. Combining EUMETSAT satellite data, its own observation network and proprietary models, it provides neighborhood-level forecasts for over 5,000 locations, used by over 40 million people. Recently, as Ard Solutions/Qarar, it has deployed flash-flood early-warning systems and dust forecasts in Saudi Arabia and Jordan, and has won an EY Entrepreneur Award (2012), spoken at TED, and been named a Google Top 10 Climate Tech and a PwC Future50. It is also a commercial data company—B2C via advertising, B2B selling weather intelligence to aviation, agriculture, insurance, energy and transport.
●●○ medium
There is no confirmed −; independently verified + decide the position (B). No unreachable strike-through.= non-additive meter
ArabiaWeather / Ard Solutions: Hyper-local Arabic forecasts and early flood warnings. The letter is B; certainty is medium. Unconfirmed concerns are placed under “Watching.” (As of 2026-Q3; estimate based on public information.)
Main narrative
One person’s story (N1)
+ before → after
MENA had little neighborhood-level Arabic forecasting or early warning for dust storms and flash floods, and residents were caught up in sudden disasters—this is the 'before.' ArabiaWeather provides hyper-local Arabic forecasts for over 5,000 locations, and recently deploys flash-flood early-warning systems in Saudi Arabia/Jordan so authorities and residents can prepare (after). The benefit appears not as an individual name but as a systemic effect protecting residents from dangerous weather. The founder played a TV weatherman as a child and single-handedly built the region's first private weather company.
Source nature: Reuters（Yahoo News）／Wikipedia / P2 Major media. Positive effects are not used to offset negatives.
Positive / negative effects
+ effects
- Used by over 40 million people, EUMETSAT satellite integration, hyper-local forecasts for over 5,000 locations. EY Emerging Entrepreneur of the Year (2012), TED talk, Google Top 10 Climate Tech, PwC Future50.P4 Industry-body award / Wikipedia / Ard Solutions
− effects (confirmed)
- No confirmed −.
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- Expansion of climate-risk management and early warning as Ard Solutions/Qarar; advancing AI-based dust/flood prediction.
A second look
The core plus is weather access in Arabic and human safety through early warning (People), highly meaningful in a region prone to flash floods and heat waves. That said, the N1 is systemic rather than an individual voice, and the personal before→after is weak. As caveats, this is a commercial data company, and its B2B customers include oil, gas and energy (symmetry of attribution—whose decisions it supports). Independent verification of public-safety impact (harm actually prevented) is also scant, and the assessment centers on awards and reporting.
Sources
How to read this assessment
- Reachable upper bound (ceiling): a confirmed − sets the ceiling, and independently verified + decide the position within it. + do not cancel out −.
- The weight of evidence is not symmetric: only confirmed − are counted; the volume of disputes or allegations goes under “Watching.” + are counted from independent evidence, while an organization’s own PR is treated as “reference.”
- Size is not value: scale is not used in the assessment. Matters that stay within money or competition—investors, shareholders, sanctions, trade secrets—are also excluded.
- The letter (assessment) and certainty (how reliable the information is) are separate axes.
This is a translation; the Japanese version is authoritative. The assessments here are generated automatically by AI based on published criteria. The operator does not alter individual results. Because they are AI-generated they may contain errors, and they are opinion and commentary, not statements of fact. Where evidence is insufficient, the entry is marked “On hold.” Requests for correction are accepted via the form.
Terms: Narrative Value = an assessment (A–G) of the distance between the story an organization tells and its reality / Ceiling meter = a visualization of the reachable upper bound / Watching = unconfirmed matters not counted / Protected stakeholders = people, animals, nature, and future generations. | Generated by: AI | As of: 2026-Q3 | Back to top